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Multi-modal Hash Learning: Efficient Multimedia Retrieval and Recommendations

By (author) Lei Zhu, By (author) Jingjing Li, By (author) Weili Guan

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normal price: R 1 444.95

Price: R 1 372.95

| book description |

This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology.  With the explosive growth of multimedia contents, multimedia retrieval is currently facing unprecedented challenges in both storage cost and retrieval speed. The multi-modal hashing technique can project high-dimensional data into compact binary hash codes. With it, the most time-consuming semantic similarity computation during the multimedia retrieval process can be significantly accelerated with fast Hamming distance computation, and meanwhile the storage cost can be reduced greatly by the binary embedding.  The authors introduce the categorization of existing multi-modal hashing methods according to various metrics and datasets. The authors also collect recent multi-modal hashing techniques and describe the motivation, objective formulations, and optimization steps for context-aware hashing methods based on the tag-semantics transfer.  

| product details |



Normally shipped | This title will take longer to obtain, and should be delivered in 6-8 weeks
Publisher | Springer International Publishing AG
Published date | 5 Aug 2023
Language |
Format | Hardback
Pages | 199
Dimensions | 240 x 168 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0313-7290-2
Readership Age |
BISAC | computers / information storage & retrieval

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Normally shipped | Usually dispatched in 3 to 4 weeks as supplier is out of stock
Readership Age |
Normal Price | R 1 854.95
 Price | R 1 762.95 | on special |

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